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(IVAR) - Final Report - Strategic Environmental Research and ...

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3.1.2.2.7 Provides Bird Abundance over Periods of Time [PB7.2]<br />

Criteria PB4.2 <strong>and</strong> PB5.2 presented the temporal <strong>and</strong> spatial distribution of bird activity as plan<br />

position or georeferenced map displays. We designed Criterion PB7.2 to demonstrate that the<br />

distribution of bird abundance data over time can also be displayed as a histogram. For this<br />

demonstration we chose to plot the total number of tracks on a daily basis for one year.<br />

3.1.2.2.8 Provides Seasonal Comparison Distributions [SB8.2]<br />

We designed Criterion SB8.2 to be an extension of PB7.2 by selecting from the year’s worth of<br />

data several 5-day intervals to represent different seasons <strong>and</strong> displaying the abundance data for<br />

these intervals on an hourly basis.<br />

3.1.2.2.9 Samples Birds at Night [PB9.2]<br />

The ability to sample birds at night is one of the primary advantages of avian radar over other<br />

methods of sampling birds - especially for locations that must provide around-the-clock situational<br />

awareness of bird activity. PB9.2 was designed to demonstrate this capability by presenting<br />

hourly trends <strong>and</strong> track histories to illustrate that nighttime sampling of bird activity is achievable<br />

with digital avian radar systems.<br />

3.1.3 Data Streaming<br />

Data streaming is the process of transmitting digital data, typically across a communications<br />

network, from where the data were generated (i.e., at the location of the avian radar) to where the<br />

data will be used (e.g., the wildlife management office) or stored (e.g., a historical database).<br />

3.1.3.1 Quantitative Performance Criteria<br />

The performance objectives discussed in the following subsections were designed to evaluate<br />

data streaming quantitatively; that is, the Success Criteria were defined as a numeric quantity<br />

against which the results of testing the radar system could be evaluated.<br />

3.1.3.1.1 Target Data Streaming Integrity Assured [PC1.1]<br />

It is essential to ensure the integrity of the data being transmitting across a communications<br />

network. We designed Criterion PC1.1 to demonstrate that data generated at a radar location<br />

could be streamed over the Internet to a storage location several thous<strong>and</strong> kilometers away with<br />

an error rate of 5% or less.<br />

3.1.3.1.2 Wired LAN Availability [PC3.1]<br />

The availability (i.e., “up-time”) of the network used to transmit the data from the radar system in<br />

the field to a remote processing/storage site across a local-area network (i.e., within a facility)<br />

must be high. We set as our success criterion to demonstrate this capability a 90% up-time for a<br />

wired communications network.<br />

3.1.3.1.3 Database Target Data Organized Into In Near Real Time [PC4.1]<br />

By the same token, it’s equally important that the application at the other end of the data stream<br />

be able to keep up with the rate at which data are being generated by the avian radar system <strong>and</strong><br />

streamed across the network. We chose the RDS to demonstrate this capability because the<br />

architecture of the Accipiter® avian radar systems uses the RDS both to store plots <strong>and</strong> tracks<br />

data for historical analysis, as well as to redistribute the data for real-time applications. We set<br />

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